CV / English / Graph Database Developer
Personal Information
- Name: Ashton MacIntyre
- Address: 154 Graphite Lane, DataVille, DV 90432
- Email: [email protected]
- Phone: +123 456 7890
Brief
A passionate Graph Database Developer with over 5 years of experience specializing in Neo4j and other graph databases. Skilled in developing efficient data models, executing complex graph queries, and implementing real-time data analysis solutions. Adept at working in fast-paced environments and delivering projects that exceed client expectations.
Core Competencies
- Graph Database Design
- Neo4j and Cypher Query Language
- Data Modeling & Analysis
- Real-Time Data Processing
- API Development
- Agile Development Methodologies
- Problem Solving
- Team Collaboration
Technologies and Certifications
- Languages: Java, Python, JavaScript
- Databases: Neo4j, Gremlin, TigerGraph
- Tools: Git, Docker, Kubernetes
- Certifications: Neo4j Certified Professional, AWS Certified Solutions Architect
Professional Experience
Lead Graph Database Developer – DataSolutions Inc.
April 2019 - Present - Designed and implemented a high-performance graph database solution that led to a 40% improvement in data retrieval times for key projects. - Spearheaded the migration of relational databases to graph databases for two major clients, enhancing data relationships and insights. - Conducted workshops and training sessions for junior developers on graph database technologies and best practices.
Graph Database Developer – TechInnovate
January 2018 - March 2019 - Contributed to the development of a patented graph-based recommendation system that improved user engagement by 25%. - Optimized graph queries for performance, reducing query execution times by over 50% on average. - Collaborated with cross-functional teams to integrate graph databases with web and mobile applications.
Education and Training
- Master of Science in Computer Science, University of Data Science, 2017
- Bachelor of Science in Information Technology, Tech University, 2015
Referees
Available upon request.